A systematic review of drug allergy alert systems. (March 2022)
- Record Type:
- Journal Article
- Title:
- A systematic review of drug allergy alert systems. (March 2022)
- Main Title:
- A systematic review of drug allergy alert systems
- Authors:
- Luri, Marta
Leache, Leire
Gastaminza, Gabriel
Idoate, Antonio
Ortega, Ana - Abstract:
- Highlights: Heterogeneity exists among drug allergy alert systems regarding alert data and rules. Drug allergy lists need to be accurate and updated for a proper system functioning. Alert system's rule bases must generate only valuable and relevant alerts. A regular review of systems is essential to identify problems or aspects to improve. Abstract: Background and objective: Drug allergy alert systems (DAAS), have been considered an effective strategy to reduce preventable adverse drug events (ADEs), improving patient's safety. To date, no review has been conducted analyzing characteristics of DAAS in the hospital setting. Therefore, the aim of this study is to identify, describe and summarize the DAAS used in hospitals. The secondary objectives are to analyse drug allergy alerts (DAA) characteristics, the override rate (OvR) and the clinical consequences of alert overrides. Methods: Searches were conducted in Medline and Cochrane Library to identify studies describing DAAS. Systems characteristics, generated alerts, DAA, OvR, and its clinical consequences were extracted and analyzed. Results: Twenty-eight articles were included in the review. Seventeen different electronic DAAS were identified, of which 53% were commercially available. Systems differed in drug allergy information and rules for generating alerts. DAA were generally interruptive, triggered by non-exact match at drug prescribing and when ignored, an override reason was mandatory. The OvR ranged from 43.7% toHighlights: Heterogeneity exists among drug allergy alert systems regarding alert data and rules. Drug allergy lists need to be accurate and updated for a proper system functioning. Alert system's rule bases must generate only valuable and relevant alerts. A regular review of systems is essential to identify problems or aspects to improve. Abstract: Background and objective: Drug allergy alert systems (DAAS), have been considered an effective strategy to reduce preventable adverse drug events (ADEs), improving patient's safety. To date, no review has been conducted analyzing characteristics of DAAS in the hospital setting. Therefore, the aim of this study is to identify, describe and summarize the DAAS used in hospitals. The secondary objectives are to analyse drug allergy alerts (DAA) characteristics, the override rate (OvR) and the clinical consequences of alert overrides. Methods: Searches were conducted in Medline and Cochrane Library to identify studies describing DAAS. Systems characteristics, generated alerts, DAA, OvR, and its clinical consequences were extracted and analyzed. Results: Twenty-eight articles were included in the review. Seventeen different electronic DAAS were identified, of which 53% were commercially available. Systems differed in drug allergy information and rules for generating alerts. DAA were generally interruptive, triggered by non-exact match at drug prescribing and when ignored, an override reason was mandatory. The OvR ranged from 43.7% to 97%. The main override reason given by providers was that 'patient had previously tolerated or had taken the drug without allergic reaction'. Clinical consequences of overriding DAA were only analyzed in four studies, with an ADE incidence between 0% and 6%. Conclusions: Different DAAS are used in hospitals with some degree of heterogeneity. Accurate and updated drug allergy information is important to generate only high value alerts. A regular review of DAAS and a standardization of alert rules, alert information and override reasons are necessary to optimize systems. Future studies should evaluate the impact of the DAAS aspects on preventing ADEs. … (more)
- Is Part Of:
- International journal of medical informatics. Volume 159(2022)
- Journal:
- International journal of medical informatics
- Issue:
- Volume 159(2022)
- Issue Display:
- Volume 159, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 159
- Issue:
- 2022
- Issue Sort Value:
- 2022-0159-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03
- Subjects:
- Drug hypersensitivity -- Hospital information systems -- Decision support systems, clinical -- Drug therapy, computer-assisted -- Medical order entry systems
ADE adverse drug event -- CDS clinical decision support -- CPOE computerized physician order entry (CPOE) -- DAA drug allergy alert -- DAAS drug allergy alert system -- OvR override rate
Medical informatics -- Periodicals
Information science -- Periodicals
Computers -- Periodicals
Medical technology -- Periodicals
Medical Informatics -- Periodicals
Technology, Medical -- Periodicals
Computers
Information science
Medical informatics
Medical technology
Electronic journals
Periodicals
Electronic journals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13865056 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/13865056 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/13865056 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijmedinf.2021.104673 ↗
- Languages:
- English
- ISSNs:
- 1386-5056
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.345250
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British Library HMNTS - ELD Digital store - Ingest File:
- 20357.xml